Create machine learning models

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Reference no: EM133746305

Artificial Intelligence and Machine Learning

Case Study and Individual Exercise

Task - Using the Orange Data Mining software, implement prediction workflows based on decision tree and logistic regression models to perform a machine learning task. Answer the accompanying questions on decision tree and logistic regression models. You can get help from your group members, but you must implement your own prediction workflow and answer the accompanying questions yourself.

Assessment Description

Background: We have already explored several machine learning models, such as decision trees and logistic regression. It is possible to implement prediction workflows based on these models using a tool such as Orange, which has a widget-driven interface.
In this assessment, you will create machine learning models that can make predictions based on the data and report on the characteristics of the models and their potential for prediction.

Assessment Instructions

Implementation (in class). As a group,
Use Orange to implement prediction workflows based on decision trees and logistic regression to perform machine learning tasks. The dataset and parameters are given in the assessment sheet.
Based on the Orange output, answer the accompanying questions in the assessment sheet on the prediction accuracies of the decision tree and logistic regression models.

Report (after class). As an individual, take notes in class and then write a 1000-word (maximum) report that summarises and provides suggestions for further analysis.

Reference no: EM133746305

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